A 13-Year Long-Term Follow-Up of a Case Report With Continued Improvement in Severe Chronic Neck and Head Pain Alleviated With Chiropractic BioPhysics® Spinal Rehabilitation Protocols
Bibliographic record
Abstract
Alleviation of headaches (HAs), neck pain (NP), and disability is a desirable clinical outcome for the billions globally who suffer from these conditions. Chiropractic BioPhysics® (CBP®) methods may provide an option for head and neck-injured patients. A 62-year-old female historically injured multiple times including two motor vehicle collisions (MVC), and a strike to the face with a hockey puck; all resulting in chronic pain and suffering. The subject sought and received successful treatment in 2016 using this conservative protocol at a facility in the USA. The resolution of symptoms following 36 treatments was previously reported. Following 13 years without treatment beyond home exercises, the subject was re-evaluated and found to be stable in the long term for pain, structural and functional assessment. Thirty-six treatments over 12 weeks in 2016 led to an improvement in numerical pain rating scale (NPRS) for NP (5/10 to 1/10), and HA (9+/10 to 0/10), resolution of NP disability (6/100 to 0/100) as well as normalization of ROM without pain and resumption of all activities of daily living including high-level athletics without pain and disability. A 13-year follow-up found continued stability objectively and subjectively. We provide a case of successful conservative treatment using specific traction, exercises, and spine manipulation procedures. CBP® provides an option to treat pain and this case adds to growing evidence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".